BLITZ (Bulk Loading and Interactive Time series Zonal analysis) is a matrix-based 2D viewer for large image datasets and single-image analysis — high-speed cameras, optical plasma diagnostics, and scientific .npy stacks.
Drag-and-drop images, video, or NumPy arrays. Check out the full WETTER framework for WOLKE, DONNER, and the other loaders.
(Click the animation for full size)
Download the latest release for Windows and Ubuntu
No installation required — download and run the executable.
BLITZ is the 2D interactive viewer in the WETTER framework. Loaders and siblings (WOLKE, DONNER, EVT, and more): wetter.mess.engineering
- High-Performance Data Handling: Efficiently processes very large datasets (e.g. loading, scaling, and converting ~21,000 RGB images (~2.5 GB raw data) into ~6.2 GB of grayscale matrix data in ~30 s on a standard gaming laptop).
- Easy Data Handling: Drag-and-drop support for image, video, and NumPy matrix (*.npy) formats.
- Easy to Use: Automatic resource management for small and large datasets.
- User-Friendly Interface: Intuitive GUI with mouse-based navigation and shortcuts.
- Advanced Image Processing: Matrix-based processing with fast, Numba-accelerated statistics.
- Live View: Support for real USB cameras and simulated data streams.
- Built on Python: Using Qt and PyQtGraph for high performance and flexibility.
To compile and develop locally:
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Clone the repository:
$ git clone https://github.com/PiMaV/BLITZ.git $ cd BLITZ -
Set up a virtual environment and install dependencies with uv:
$ pip install uv $ uv sync $ uv run python -m blitz
Originally developed by Philipp Mattern at INP Greifswald, now maintained at M.E.S.S. – Mattern Engineering & Software Solutions.
Early development was supported by Richard Krieg (student assistant) until v1.3.0 / January 2025.
- Example Dataset: KinPen Science Example Set
High-speed camera recordings of a cold atmospheric pressure plasma jet (kINPen), ideal for testing BLITZ's fast matrix loading and time-series analysis capabilities. - Plasma Data Repository: INPTDAT
Explore disciplinary datasets for low-temperature plasma physics or contribute your own.
BLITZ is licensed under the GNU General Public License v3.0.